Ogunjimi Abeeb

Key Skills

Software

Micro1

Toloka

Snorkel AI

Remotasks

OneForma

Top Subject Matter

General AI/NLP

General Computer Vision

Speech Recognition / Linguistics

Top Data Types

Text

Image

Audio

Document

Top Task Types

Classification

Transcription

Text Generation

RLHF

Evaluation Rating

Data Collection

Prompt Response Writing SFT

Computer Programming Coding

Point Key Point

Red Teaming

Function Calling

Freelancer Overview

AI Data Contributor (Text Annotation). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma. Education includes Bachelor of Science, Federal University of Technology, Ilaro (2025). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification and Transcription.

Labeling Experience

Data Annotation Quality Reviewer (QA/Auditor)

DocumentEvaluation Rating

Conducted quality assurance and auditing of annotated datasets to ensure accuracy, consistency, and compliance with project guidelines. Reviewed labeled text data and evaluated outputs based on predefined quality metrics such as relevance, correctness, and completeness. Identified annotation errors, inconsistencies, and edge cases, providing detailed feedback to improve overall dataset quality. Applied structured evaluation frameworks and scoring systems to validate data used for training AI and machine learning models. Collaborated with annotation teams by enforcing quality standards, resolving ambiguities in guidelines, and maintaining high inter-annotator agreement. Contributed to improving model performance by ensuring high-quality, reliable training data.

Conducted quality assurance and auditing of annotated datasets to ensure accuracy, consistency, and compliance with project guidelines. Reviewed labeled text data and evaluated outputs based on predefined quality metrics such as relevance, correctness, and completeness. Identified annotation errors, inconsistencies, and edge cases, providing detailed feedback to improve overall dataset quality. Applied structured evaluation frameworks and scoring systems to validate data used for training AI and machine learning models. Collaborated with annotation teams by enforcing quality standards, resolving ambiguities in guidelines, and maintaining high inter-annotator agreement. Contributed to improving model performance by ensuring high-quality, reliable training data.

2025 - Present

AI Data Contributor (Transcription)

OneformaAudioTranscription

This position required converting audio data into written text through detailed transcription assignments. The work emphasized linguistic accuracy and adherence to strict formatting guidelines to ensure high-quality datasets for AI language modeling. Regular feedback was incorporated to enhance the accuracy and consistency of the transcriptions. • Transcribed varied audio recordings to text with high precision. • Followed language and formatting guidelines for data consistency. • Performed quality checks and revisions on completed transcriptions. • Contributed to improvement of automated transcription processes.

This position required converting audio data into written text through detailed transcription assignments. The work emphasized linguistic accuracy and adherence to strict formatting guidelines to ensure high-quality datasets for AI language modeling. Regular feedback was incorporated to enhance the accuracy and consistency of the transcriptions. • Transcribed varied audio recordings to text with high precision. • Followed language and formatting guidelines for data consistency. • Performed quality checks and revisions on completed transcriptions. • Contributed to improvement of automated transcription processes.

2024 - Present

AI Data Contributor (Image Annotation)

OneformaImageClassification

This experience encompassed labeling large volumes of image data to support supervised machine learning initiatives. All work was performed in compliance with the prescribed annotation guidelines for AI model training. The tasks required acute attention to visual detail and adherence to structured labeling protocols. • Labeled and classified images for AI tasks using proprietary platforms. • Conducted consistency and compliance reviews on labeled data. • Provided input to data workflow improvements for annotation efficiency. • Adhered to deadlines in a high-volume remote work environment.

This experience encompassed labeling large volumes of image data to support supervised machine learning initiatives. All work was performed in compliance with the prescribed annotation guidelines for AI model training. The tasks required acute attention to visual detail and adherence to structured labeling protocols. • Labeled and classified images for AI tasks using proprietary platforms. • Conducted consistency and compliance reviews on labeled data. • Provided input to data workflow improvements for annotation efficiency. • Adhered to deadlines in a high-volume remote work environment.

2024 - Present

AI Data Contributor (Text Annotation)

OneformaTextClassification

This role involved labeling and annotating extensive text datasets for use in AI model training and evaluation. The contributor focused on maintaining data consistency and high-quality standards in adherence to project requirements. Strict project instructions and deadlines were followed throughout all labeling and annotation efforts. • Labeled and annotated text data according to detailed specifications. • Ensured data quality through rigorous checks and validation processes. • Collaborated with remote teams to support AI model development. • Used provided platform tools for annotation and quality assurance.

This role involved labeling and annotating extensive text datasets for use in AI model training and evaluation. The contributor focused on maintaining data consistency and high-quality standards in adherence to project requirements. Strict project instructions and deadlines were followed throughout all labeling and annotation efforts. • Labeled and annotated text data according to detailed specifications. • Ensured data quality through rigorous checks and validation processes. • Collaborated with remote teams to support AI model development. • Used provided platform tools for annotation and quality assurance.

2024 - Present

Data Quality Assurance & Validation

DocumentEvaluation Rating

Executed data quality assurance and validation tasks on large-scale document datasets, focusing on identifying inconsistencies, anomalies, and outliers. Performed evaluation-based labeling by assigning accuracy and relevance scores to data samples based on predefined guidelines. Reviewed and analyzed textual data to ensure integrity, consistency, and alignment with project standards. Applied critical judgment to detect edge cases and ambiguous entries, improving overall dataset reliability for AI model training. Worked with structured evaluation frameworks to maintain high annotation accuracy, while adhering to strict quality control measures such as cross-validation, guideline compliance, and continuous feedback loops. Contributed to enhancing model performance by ensuring high-quality labeled data.

Executed data quality assurance and validation tasks on large-scale document datasets, focusing on identifying inconsistencies, anomalies, and outliers. Performed evaluation-based labeling by assigning accuracy and relevance scores to data samples based on predefined guidelines. Reviewed and analyzed textual data to ensure integrity, consistency, and alignment with project standards. Applied critical judgment to detect edge cases and ambiguous entries, improving overall dataset reliability for AI model training. Worked with structured evaluation frameworks to maintain high annotation accuracy, while adhering to strict quality control measures such as cross-validation, guideline compliance, and continuous feedback loops. Contributed to enhancing model performance by ensuring high-quality labeled data.

2023 - Present

Education

Work History